data analyst

senior data scientist

data engineer

senior data engineer

quantitative researcher

data scientist

The Boston Consulting Group

<p><span style="font-size: 11px;"><b>What You'll Do</b></span></p> <div> <p>Our BCG X teams own the full analytics value-chain end to end: framing new business challenges, designing innovative algorithms, implementing, and deploying scalable solutions, and enabling colleagues and clients to fully embrace AI. Our product offerings span from fully custom-builds to industry specific leading edge AI software solutions. </p> <p> </p> </div> <div> <p>As a Data Scientist and Senior Data Scientist, you'll be part of our rapidly growing team. You'll have the chance to apply data science methods and analytics to real-world business situations across a variety of industries to drive significant business impact. You'll have the chance to partner with clients in a variety of BCG regions and industries, and on key topics like climate change, enabling them to design, build, and deploy new and innovative solutions. </p> <p> </p> </div> <div> <p>Additional responsibilities will include developing and delivering thought leadership in scientific communities and papers as well as leading conferences on behalf of BCG X. Successful candidates are intellectually curious builders who are biased toward action, scrappy, and communicative. </p> <p> </p> </div> <div> <p>We are looking for talented individuals with a passion for data science, statistics, operations research and transforming organizations into AI led innovative companies. Successful candidates possess the following: </p> </div> <div> <ul> <li> <p>Comfortable in a client-facing role with the ambition to lead teams </p> </li> <li> <p>Likes to distill complex results or processes into simple, clear visualizations </p> </li> <li> <p>Explain sophisticated data science concepts in an understandable manner </p> </li> <li> <p>Love building things and are comfortable working with modern development tools and writing code collaboratively (bonus points if you have a software development or DevOps experience) </p> </li> <li> <p>Significant experience applying advanced analytics to a variety of business situations and a proven ability to synthesize complex data </p> </li> <li> <p>Deep understanding of modern machine learning techniques and their mathematical underpinnings, and can translate this into business implications for our clients </p> </li> <li> <p>Have strong project management skills</p></li></ul> </div> <br> <br> <p><b>What You'll Bring</b></p> <div> <p> <strong>TECHNOLOGIES: </strong> </p> <p> </p> </div> <div> <p>Programming Languages: Python</p></div>

Data Scientist

Glow Beauty On Demand

<br>Job Title<br>Data Scientist - Advanced Analytics &amp; AI Solutions Dubai UAE<br>Job Description<br>Data Scientist - Advanced Analytics &amp; AI Solutions Dubai UAE<br> <br>Role Summary<br>MetLife Gulf is seeking a talented Data Scientist to join its Data Analytics team, driving innovation and business transformation through advanced analytics and AI solutions. This role is central to MetLife s data-first strategy, helping shape predictive models, optimize decision-making, and elevate customer experience across insurance and financial services.<br> <br>Employment Overview<br>Job Location: Dubai, UAE<br>Industry: Insurance<br>Function: Data Science / Analytics<br>Salary: 25000-32000 monthly (Market estimated)<br>Gender: Any<br>Candidate Nationality: Any<br>Job Type: Full-time (Hybrid)<br> <br>What You ll Do<br> <br>* Lead the design and execution of advanced data science projects, including predictive modeling, AI, and machine learning initiatives<br>* Build and deploy data pipelines, backend models, and scalable analytics solutions<br>* Collaborate with stakeholders to align data projects with strategic objectives<br>* Develop visually impactful dashboards and reports using Power BI<br>* Perform data mining, feature engineering, and statistical analysis for actionable insights<br>* Integrate advanced analytics solutions across business units for pricing, claims, and sales optimization<br>* Mentor and coach team members to enhance analytics and AI capabilities<br>* Drive continuous innovation through experimentation with emerging technologies<br>* Ensure data governance, model validation, and compliance with organizational standards<br> <br>Ideal Profile<br> <br>* Master s degree preferred; Bachelor s in Data Science, Computer Science, or related field<br>* 3+ years of experience in machine learning, deep learning, and predictive analytics<br>* Strong programming skills in Python or R and experience building data pipelines<br>* Expertise in NLP, hypothesis testing, and conceptual modeling<br>* Proficiency in Power BI and knowledge of Alteryx or similar visualization tools<br>* Familiarity with Microsoft Azure or cloud-based environments<br>* Strong storytelling and data visualization skills for non-technical audiences<br>* Business acumen with ability to translate insights into impactful business strategies<br> <br>Why Join Us<br>MetLife offers an inclusive, purpose-driven work culture recognized globally for excellence. Enjoy competitive compensation, hybrid work flexibility, and career growth opportunities in an organization committed to innovation, customer experience, and sustainable business practices.<br> <br><br>

Capgemini Engineering

<div><span style="font-size: 11px;"><b>Your Role</b></span></div><div><span style="font-size: 11px;"><br></span></div><div><span style="font-size: 11px;">We are seeking a highly analytical and innovative Data Scientist to join our team. The ideal candidate will be responsible for extracting insights from complex datasets, building predictive models, and supporting data-driven decision-making across manufacturing operations.</span></div><div><span style="font-size: 11px;"><br></span></div><div><span style="font-size: 11px;"><b>Key responsibilities of this role:</b></span></div><div><span style="font-size: 11px;">Collect, clean, and preprocess structured and unstructured data from various sources.</span></div><div><span style="font-size: 11px;">Develop and implement statistical models, machine learning algorithms, and data mining techniques.</span></div><div><span style="font-size: 11px;">Perform exploratory data analysis to identify trends, patterns, and anomalies.</span></div><div><span style="font-size: 11px;">Translate business problems into analytical solutions and communicate findings effectively.</span></div><div><span style="font-size: 11px;">Collaborate with cross-functional teams to integrate data science solutions into business processes.</span></div><div><span style="font-size: 11px;">Create visualizations and dashboards to present insights to stakeholders.</span></div><div><span style="font-size: 11px;">Continuously monitor model performance and update models as needed.</span></div><div><span style="font-size: 11px;">Document methodologies, experiments, and results for reproducibility and knowledge sharing.</span></div><div><span style="font-size: 11px;"><br></span></div><div><span style="font-size: 11px;"><b>Your Profile</b></span></div><div><span style="font-size: 11px;"><br></span></div><div><span style="font-size: 11px;">Bachelor's or Master's degree in Data Science, Computer Science, Statistics, or a related field.</span></div><div><span style="font-size: 11px;">2-5 years of experience in data science or advanced analytics, preferably in a manufacturing context.</span></div><div><span style="font-size: 11px;">Proficiency in Python, R, SQL, and machine learning libraries (e.g., scikit-learn, TensorFlow).</span></div><div><span style="font-size: 11px;">Experience with data visualization tools such as Power BI, Tableau, or matplotlib.</span></div><div><span style="font-size: 11px;">Strong understanding of statistical analysis, predictive modeling, and data wrangling.</span></div><div><span style="font-size: 11px;">Familiarity with cloud platforms (e.g., Azure, AWS, GCP) and big data technologies.</span></div><div><span style="font-size: 11px;">Excellent problem-solving and communication skills.</span></div><div><span style="font-size: 11px;">Experience with Agile/Scrum methodologies is a plus.</span></div><div><span style="font-size: 11px;"><br></span></div><div><span style="font-size: 11px;">What You'll Love About Working Here</span></div><div><span style="font-size: 11px;"><br></span></div><div><span style="font-size: 11px;">Flexible Work Arrangements-Work remotely or adjust work hours for a balanced lifestyle.</span></div><div><span style="font-size: 11px;"><br></span></div><div><span style="font-size: 11px;">Career Growth Opportunities-Access diverse roles and career development programs.</span></div><div><span style="font-size: 11px;"><br></span></div><div><span style="font-size: 11px;">Training &amp; Certifications-Equip yourself with valuable certifications in emerging technologies.</span></div><div><br></div>

DICETEK LLC

<div><p><b>Role Summary: </b>The Data Scientist will be responsible for collecting, analyzing, and interpreting large datasets to generate actionable insights, and support data-driven decision-making.
</p><p></p><p><b>Key Responsibilities:</b></p><ul><li><b>Data Collection &amp; Processing</b></li></ul><p>
o Extract, clean, and preprocess structured and unstructured data from multiple sources.</p><p>
o Ensure data integrity, quality, and governance.</p><p>
</p><ul><li><b>Analytics</b></li></ul><p>
o Apply statistical methods to solve business problems.</p><p>
o Develop algorithms to optimize business processes (e.g., customer record segmentation, duplicate detection, recommendation for efficiency optimisation).</p><p>
</p><ul><li><b>Visualization &amp; Reporting</b></li></ul><p>
o Build dashboards and visualizations to communicate findings to stakeholders.</p><p>
o Translate complex results into actionable insights for non-technical audiences.</p><p></p><ul><li><br>
<b>Collaboration</b></li></ul><p>
o Work closely with project implementation teams to understand requirements and deliver data solutions.</p><p>
o Collaborate with data engineers to expedite data driven conclusions and opportunity areas.</p><p>
</p><p><b>Required Skills &amp; Qualifications</b></p><ul><li>Education: Bachelor&rsquo;s/Master&rsquo;s in Computer Science, Statistics, Mathematics, Data Science, or related field.</li></ul><p></p><p><b><br>
Technical Skills:</b></p><p>
o Proficiency in Python/R, SQL, and data visualization tools (Tableau, Power BI, matplotlib).</p><p>
o Strong knowledge of statistics, probability, and hypothesis testing.</p><p>
o Experience with machine learning frameworks (scikit-learn, TensorFlow, PyTorch).</p><p></p><p><b><br>
Business Skills:</b></p><p>
o Ability to translate data insights into business recommendations.</p><p>
o Strong problem-solving and critical-thinking skills.</p><p>
</p><p><b>Preferred Qualifications</b></p><ul><li>Experience with big data technologies (Spark, Hadoop).</li><li>Familiarity with cloud platforms (AWS, Azure, GCP).</li><li>Publications or project work demonstrating data science applications.</li></ul><p>
</p><p><b>Key Performance Indicators (KPIs)</b></p><ul><li>Accuracy and robustness of conclusions basis data study.</li><li>Business value generated through data insights.</li><li>Timeliness and quality of reports and dashboards.</li><li>Stakeholder satisfaction and adoption of data-driven solutions.</li></ul></div>

Jex Recruitment | Connecting top talent with leading companies

<div>
 <p>
  Principal Data Scientist &ndash; Cyber Security | Dubai
 </p>
 <p>
  <br/>
 </p>
 <p>
  We&rsquo;re partnered with a leading Cyber Security organisation in Dubai to hire a
  <strong>
   Principal Data Scientist
  </strong>
  . This role is ideal for a seasoned data science professional &mdash; someone with 10+ years&rsquo; experience applying machine learning to complex, high-impact problems &mdash; and a deep technical interest in cyber defence.
 </p>
 <p>
  <br/>
 </p>
 <p>
  You&rsquo;ll play a hands-on role in designing, building, and deploying ML architectures that power next-generation threat detection and predictive security systems. Working at the intersection of
  <strong>
   AI, data, and cyber security
  </strong>
  , you&rsquo;ll drive innovation while remaining deeply involved in technical delivery.
 </p>
 <p>
  <br/>
 </p>
 <p>
  Key Responsibilities
 </p>
 <ul>
  <li>
   Architect, develop, and deploy advanced ML models for anomaly detection, intrusion prevention, and predictive defence.
  </li>
  <li>
   Collaborate with cyber research and engineering teams to embed AI capabilities into real-world security products.
  </li>
  <li>
   Lead the design of scalable data and ML pipelines capable of handling high-volume, adversarial data.
  </li>
  <li>
   Evaluate emerging technologies and research to continuously evolve the organisation&rsquo;s ML stack.
  </li>
  <li>
   Mentor and guide data scientists and ML engineers, setting technical direction and best practices.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  Requirements
 </p>
 <ul>
  <li>
   <strong>
    10+ years of experience
   </strong>
   in data science, machine learning, or applied AI, with a focus on hands-on technical work.
  </li>
  <li>
   Strong background in
   <strong>
    cyber security
   </strong>
   , ideally with experience in malware analysis, SOC operations, or threat intelligence.
  </li>
  <li>
   Proven record of building
   <strong>
    production-grade ML systems
   </strong>
   and data architectures.
  </li>
  <li>
   Advanced proficiency in
   <strong>
    Python
   </strong>
   ,
   <strong>
    TensorFlow/PyTorch
   </strong>
   , and distributed data technologies (Spark, Kubernetes, etc.).
  </li>
  <li>
   Deep understanding of modern ML methodologies, from feature engineering to model deployment and monitoring.
  </li>
  <li>
   Strong communicator and problem-solver, able to operate both strategically and technically.
  </li>
 </ul>
 <li>
 </li>
 <p>
 </p>
</div>


Principal Data Scientist

NEOSTATS ANALYTICS SOLUTIONS PRIVATE LIMITED

<ul><li>Collect, clean, and transform large datasets to derive meaningful insights.</li><li>Perform exploratory data analysis (EDA) and apply statistical methods to address business challenges.</li><li>Develop, test, and optimize predictive and prescriptive models to support data-driven decision-making.</li><li>Collaborate with cross-functional teams to understand business requirements and deliver tailored data solutions.</li><li>Present findings and actionable recommendations to stakeholders through clear and compelling visualizations and reports.</li></ul>

Kintlogix LLC

<b>Requirements </b><ul> <li> <span>Bachelor's or Master s degree in Data Science, Computer Science, Statistics, or related field <br> </span> </li> <li> <span>2+ years of experience in a data science or analytical role (Logistics experience is a plus)<br> </span> </li> <li> <span>Strong knowledge of Python, R, SQL, and data visualisation tools (e.g., Tableau, Power BI)<br> </span> </li> <li> <span>Familiarity with machine learning frameworks (e.g., Scikit-learn, TensorFlow)<br> </span> </li> <li> <span>Excellent problem-solving and communication skills<br> </span> </li> <li> <span>Ability to work independently and collaboratively in a fast-paced environment<br> </span> </li> </ul> <div> <br> </div>  <br> <span><b> Benefits </b><ul> <li> <span>A chance to work with a forward-thinking logistics company reshaping supply chain solutions <br> </span> </li> <li> <span>A collaborative and innovation-driven work culture<br> </span> </li> <li> <span>Competitive salary and benefits<br> </span> </li> <li> <span>Professional development opportunities<br> </span> </li> <li> <span>Modern office in the heart of Dubai, UAE</span></li></ul></span>

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4274 data scientist jobs IN Dubai

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